数学系Seminar第1368期 婴幼儿大脑影像分析 —— 组织分割

创建时间:  2016/11/28  龚惠英   浏览次数:   返回

报告主题:婴幼儿大脑影像分析 —— 组织分割
报告人: 王 利 副研究员(美国北卡罗莱纳大学教堂山分校)
报告时间:2016年11月30日(周三)13:00
报告地点:校本部G507
邀请人:应时辉
主办部门:理学院数学系
报告摘要:Segmentation of infant brain MRIs is challenging due to the low image quality, severe partial volume effect, noise, ongoing white and gray matters undergoes dramatic changes. In particular, the image contrasts inverses around 6-8 months of age, where the white and gray matter tissues are isointense and hence exhibit the extremely low tissue contrast, posing significant challenges for automated segmentation. In this talk, a novel learning-based method segmentation of infant brain MRIs will be introduced. Later I will also introduce the extension for segmentation on monkey MRIs and dental CBCTs.
欢迎教师、学生参加 !

上一条:数学系Seminar第1369期 关于迷向测度的Loomis-Whitney不等式

下一条:力学所SEMINAR 844 基于ALE动网格适应的水轮机叶轮流固耦合建模与数值实现


数学系Seminar第1368期 婴幼儿大脑影像分析 —— 组织分割

创建时间:  2016/11/28  龚惠英   浏览次数:   返回

报告主题:婴幼儿大脑影像分析 —— 组织分割
报告人: 王 利 副研究员(美国北卡罗莱纳大学教堂山分校)
报告时间:2016年11月30日(周三)13:00
报告地点:校本部G507
邀请人:应时辉
主办部门:理学院数学系
报告摘要:Segmentation of infant brain MRIs is challenging due to the low image quality, severe partial volume effect, noise, ongoing white and gray matters undergoes dramatic changes. In particular, the image contrasts inverses around 6-8 months of age, where the white and gray matter tissues are isointense and hence exhibit the extremely low tissue contrast, posing significant challenges for automated segmentation. In this talk, a novel learning-based method segmentation of infant brain MRIs will be introduced. Later I will also introduce the extension for segmentation on monkey MRIs and dental CBCTs.
欢迎教师、学生参加 !

上一条:数学系Seminar第1369期 关于迷向测度的Loomis-Whitney不等式

下一条:力学所SEMINAR 844 基于ALE动网格适应的水轮机叶轮流固耦合建模与数值实现